CN114290990A - Obstacle early warning system and method for vehicle A-column blind area and signal processing device - Google Patents
Obstacle early warning system and method for vehicle A-column blind area and signal processing device Download PDFInfo
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Abstract
The embodiment of the invention discloses a barrier early warning system, a barrier early warning method and a signal processing device for a vehicle A column blind area, wherein the barrier early warning system comprises: the signal acquisition device is used for monitoring road information at a vehicle A column blind area; the signal processing device is respectively connected with the signal acquisition device and the display device; the signal processing device is used for identifying the type and the position of the barrier according to the road information, judging the risk level of the barrier in the blind area of the column A of the vehicle according to the position of the barrier and the current working condition of the vehicle, and sending an identifier matched with the risk level and the type of the barrier to the display device; and the display device is used for displaying the mark at the windshield right in front of the driver. The obstacle early warning system, the obstacle early warning method and the signal processing device for the vehicle A-pillar blind area disclosed by the embodiment of the invention can provide early warning information more quickly and conveniently on the premise of not interfering the normal driving behavior of a driver.
Description
Technical Field
The present invention relates to vehicle networking technologies, and in particular, to a system and a method for warning an obstacle in a pillar a blind area of a vehicle, and a signal processing device.
Background
Since the a-pillar of the vehicle is between the engine compartment and the cab, the driver's view is obscured above the left and right rear view mirrors. Therefore, during the driving of the vehicle, a-pillar blind areas exist, which are located at two sides of the front of the driver, and particularly when the vehicle turns, the driver is easy to identify and judge the dangerous factors of the surrounding environment of the vehicle.
Therefore, the blind area of the visual field brought by the column A of the vehicle increases the hidden danger of the driving safety of a driver, and brings risks to the driving safety.
Disclosure of Invention
In a first aspect, an embodiment of the present application provides an obstacle early warning system for a pillar a blind area of a vehicle, including: the device comprises a signal acquisition device, a signal processing device and a display device;
the signal acquisition device is used for monitoring road information at a vehicle A column blind area;
the signal processing device is respectively connected with the signal acquisition device and the display device; the signal processing device is used for identifying the type and the position of an obstacle according to the road information, judging the risk level of the obstacle in the A column blind area of the vehicle according to the position of the obstacle and the current working condition of the vehicle, and sending an identifier matched with the risk level and the type of the obstacle to the display device;
the display device is used for displaying the mark at the position of a windshield right in front of the driver.
In a second aspect, an embodiment of the present application provides a method for warning an obstacle in a vehicle a-pillar blind area, including:
the signal processing device acquires road information at a vehicle A column blind area monitored by the signal acquisition device;
the signal processing device identifies the type and the position of the obstacle according to the road information;
the signal processing device judges the risk level of the obstacle in the blind area of the column A of the vehicle according to the position of the obstacle and the current working condition of the vehicle, and sends the identification matched with the risk level and the type of the obstacle to the display device, so that the display device displays the identification on a windshield right in front of a driver.
In a third aspect, an embodiment of the present application provides a signal processing apparatus, including a memory and a processor, where the memory is used for storing a computer program; the computer program, when executed by the processor, implements a method of early warning an obstacle in a vehicle a-pillar blind spot according to any of the embodiments of the second aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, on which computer instructions are stored, and the instructions, when executed by a processor, implement the steps of the method according to any one of the embodiments of the second aspect.
Compared with the prior art, the obstacle early warning system, the obstacle early warning method and the signal processing device for the vehicle A-column blind area have the following beneficial effects: the road information of the A column blind area can be acquired, risk early warning is carried out by combining vehicle running information, early warning display is carried out on the early-warned information through the display capable of being watched by the driver, and early warning information can be provided more quickly and conveniently on the premise of not interfering normal driving behaviors of the driver.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application. Other advantages of the present application may be realized and attained by the instrumentalities and combinations particularly pointed out in the specification and the drawings.
Drawings
The accompanying drawings are included to provide an understanding of the present disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the examples serve to explain the principles of the disclosure and not to limit the disclosure.
Fig. 1 is a block diagram of an obstacle warning system for a vehicle pillar a blind area according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an obstacle warning for a vehicle pillar A blind area provided in an embodiment of the present invention;
FIG. 3 is a flowchart of an obstacle warning method for a vehicle pillar A blind area according to an embodiment of the present invention;
fig. 4 is a block diagram of a signal processing apparatus according to an embodiment of the present invention.
Detailed Description
The present application describes embodiments, but the description is illustrative rather than limiting and it will be apparent to those of ordinary skill in the art that many more embodiments and implementations are possible within the scope of the embodiments described herein. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are possible. Any feature or element of any embodiment may be used in combination with or instead of any other feature or element in any other embodiment, unless expressly limited otherwise.
The present application includes and contemplates combinations of features and elements known to those of ordinary skill in the art. The embodiments, features and elements disclosed in this application may also be combined with any conventional features or elements to form a unique inventive concept as defined by the claims. Any feature or element of any embodiment may also be combined with features or elements from other inventive aspects to form yet another unique inventive aspect, as defined by the claims. Thus, it should be understood that any of the features shown and/or discussed in this application may be implemented alone or in any suitable combination. Accordingly, the embodiments are not limited except as by the appended claims and their equivalents. Furthermore, various modifications and changes may be made within the scope of the appended claims.
Further, in describing representative embodiments, the specification may have presented the method and/or process as a particular sequence of steps. However, to the extent that the method or process does not rely on the particular order of steps set forth herein, the method or process should not be limited to the particular sequence of steps described. Other orders of steps are possible as will be understood by those of ordinary skill in the art. Therefore, the particular order of the steps set forth in the specification should not be construed as limitations on the claims. Further, the claims directed to the method and/or process should not be limited to the performance of their steps in the order written, and one skilled in the art can readily appreciate that the sequences may be varied and still remain within the spirit and scope of the embodiments of the present application.
Fig. 1 is a block diagram of a structure of an obstacle warning system for a vehicle a-pillar blind area according to an embodiment of the present invention, and as shown in fig. 1, the obstacle warning system for a vehicle a-pillar blind area according to an embodiment of the present invention may include: signal acquisition device 11, signal processing device 12 and display device 13.
And the signal acquisition device is used for monitoring road information at the blind area of the column A of the vehicle.
In this embodiment, a signal acquisition device may be installed directly above the windshield of the vehicle to acquire road information, where the road information is acquired by the signal acquisition device monitoring the road in the pillar a blind area of the vehicle, and the road information acquired by the signal acquisition device may be transmitted to the signal processing device.
In an example, the signal acquisition device may include a sensing sensor such as a laser radar, a millimeter wave radar, or a camera, wherein the road information acquired by the laser radar may generate point cloud data and transmit the point cloud data to the signal processing device. The signal processing device is respectively connected with the signal acquisition device and the display device; the signal processing device is used for identifying the type and the position of the barrier according to the road information, judging the risk level of the barrier in the blind area of the column A of the vehicle according to the position of the barrier and the current working condition of the vehicle, and sending the identifier matched with the risk level and the type of the barrier to the display device.
In this embodiment, the signal processing device can determine the safety risk of the vehicle a-pillar blind area view by combining the road information acquired by the signal acquisition device and the driving scene of the vehicle (such as the current working condition of the vehicle), and prompt the driver of the relevant risk level through the display device.
In this embodiment, the signal processing device may be any terminal or computer capable of carrying the relevant algorithm model, so as to have a signal processing function. In an example, the signal processing device may be, but is not limited to, an on-board computer (Electronic Control Unit, ECU).
In one example, the signal processing device may identify the type and the position of the obstacle according to the road information, and may include:
and identifying whether the road information contains the obstacle or not by adopting a preset machine learning algorithm, and identifying the type and the position of the obstacle.
In this embodiment, a machine learning algorithm (such as deep learning) may be used to identify the road information to identify whether there is an obstacle in the road in the a-pillar blind area, and the position and type of the obstacle. The learning principle of the machine learning algorithm is similar to that of the existing scheme, for example, model training can be performed through historical samples, and recognition is performed through trained samples, which is not limited and described herein.
In one example, the current operating conditions of the vehicle may include one or more of: vehicle position, vehicle speed, and direction of travel of the vehicle.
And the display device is used for displaying the mark at the windshield right in front of the driver.
In the current common scene, a driver often needs a larger action in order to obtain a blind area view, and even if the driver needs to look at a screen by deviating the head through the display of a central control screen. In the embodiment, the early warning information is displayed through the display device, and the driver can view the early warning information displayed by the display device in the driving process, so that the driver can obtain the prompt of the risk early warning information without redundant actions.
In one example, the Display device may include a Head Up Display (HUD).
The obstacle early warning system for the vehicle A-column blind area provided by the embodiment of the invention can acquire the road information of the A-column blind area, carry out risk early warning by combining the vehicle driving information, carry out early warning display on the early-warned information through the head-up display of the driver, and more quickly and conveniently provide early warning information on the premise of not interfering the normal driving behavior of the driver.
In addition, the risk grade judgment is carried out by combining the vehicle running condition, repeated early warning and invalid early warning can be avoided in unnecessary scenes, fatigue of a driver on early warning information is avoided, meanwhile, the reliability of the early warning information is improved, certain risks (such as pedestrians or small equipment passing through or fixed obstacles and the like) are ensured when the early warning is sent out, and the driver can not question the early warning information prompted by the display device and can quickly respond.
In addition, after the signal acquisition device acquires the road information outside the vehicle, all related information flows in the system in the vehicle, so that the risk that communication interruption possibly occurs when the vehicle interacts with the outside, information is not transmitted timely or a communication object is lost is reduced; because the information only flows in the network in the vehicle, the safety of the information in the vehicle is enhanced.
In an example embodiment of the invention, different types of obstacles are represented by different icons and risk levels are represented by different levels.
In this embodiment, the signal processing device may pre-construct display images or icons of the display devices of several object categories, select an icon matching the type of the obstacle from the pre-constructed obstacle icons after determining the type of the obstacle, adjust the matched icon according to the determined risk level, and send the adjusted icon to the display device as the risk early warning identifier. In the embodiment, the images of the object types are constructed in advance, image information does not need to be transmitted between systems in the vehicle, the difficulty of information transmission is reduced, and the content of information transmission is reduced.
Wherein the pre-constructed icon may include: vehicle icons (large vehicle, small vehicle, two-wheeled vehicle, etc.), pedestrian icons, and fixed obstacle icons. Wherein the vehicle icon may include: a large vehicle icon, a small vehicle icon, a two-wheeled vehicle icon, and the like. The fixed obstacle icon may include: a triangular pyramid icon, a railing icon, etc.
The obstacles can be divided into static obstacles and moving obstacles, wherein the moving obstacles refer to objects which have a relative vehicle speed of more than 20km/h and enter the range of a vehicle A column blind area in moving, such as pedestrians, small equipment or vehicles, and the moving obstacles can be called as moving obstacles. The static obstacle is located within 3 meters (M) near the moving path of the vehicle, the near 3M refers to the vertical distance of the left side and the right side of the moving path, and fixed obstacles such as triangular cone icons and railing icons can be called as the static obstacle.
In this embodiment, adjusting the matched icon according to the determined risk level may include: and adjusting the color, the size or the number of exclamation marks in the icon according to the level of the risk level to serve as the early warning icon of the corresponding risk level.
The risk levels of the different levels are expressed in at least one of the following ways:
the first method is as follows: the risk levels of the different levels are represented by different icon colors. In this embodiment, the risk level may be changed by adjusting the icon color of the icon displayed on the display device. For example, an adjustable icon turning green indicates low risk, an adjustable icon turning yellow indicates medium risk, and an adjustable icon turning red indicates high risk.
The second method comprises the following steps: different levels of risk rating are represented by different icon sizes. In this embodiment, the risk level may be changed by adjusting the size of the icon displayed on the display device. For example, the icon specifications may include a large icon, a medium icon, and a small icon, the adjustable display device displaying the icon as the small icon represents a low risk, the adjustable display device displaying the icon as the medium icon represents a medium risk, and the adjustable display device displaying the icon as the large icon represents a high risk.
The third method comprises the following steps: different levels of risk level are indicated by different numbers of exclamation marks. In this embodiment, the risk level may be changed by adjusting the number of exclamation marks in the icon displayed on the display device. For example, the display device may be adjusted to display an icon plus one exclamation mark to indicate low risk, the display device may be adjusted to display an icon plus two exclamation marks to indicate medium risk, and the display device may be adjusted to display an icon plus three exclamation marks to indicate high risk.
Wherein the display means displays the icon means a pre-constructed icon matching the determined type of the obstacle.
In an example embodiment of the invention, the risk level may include: high risk, medium risk and low risk.
The signal processing device judges the risk level of the obstacle in the pillar A blind area of the vehicle according to the position of the obstacle and the current working condition of the vehicle, and may include:
acquiring the current speed of the vehicle;
when the current speed of the vehicle is greater than or equal to a first preset speed and an obstacle exists in the road information, determining that the risk level is high risk;
and when the current speed of the vehicle is less than the first preset speed and the road information contains an obstacle, judging the spacing distance between the obstacle and the vehicle, and determining the risk level according to the current speed and the spacing distance of the vehicle.
In this embodiment, the risk level of the obstacle may be determined based on the position of the obstacle and the current speed of the vehicle. When the current speed of the vehicle exceeds a set speed (such as a first preset speed), the occurrence of an obstacle in the range of the a-pillar blind area is considered to be a high risk. And when the current speed of the vehicle does not exceed the set speed, judging the risk level according to the distance between the obstacle and the vehicle in the A column blind area range.
The value of the first preset speed may be, but is not limited to, 70 km/h.
In one example, the signal processing device determining the risk level according to the current speed and the separation distance of the vehicle may include:
when the current speed of the vehicle is greater than or equal to a second preset speed and less than a first preset speed, if the spacing distance is 2-3 meters, determining that the risk level is a medium risk; if the spacing distance is 1-2 meters, determining the risk level as high risk;
when the current speed of the vehicle is lower than a second preset speed, if the spacing distance is 2-3 m, determining that the risk level is low risk; if the spacing distance is 1-2 m, determining the risk grade as medium risk; if the separation distance is 0 to 1 meter, the risk level is determined to be high risk.
In this embodiment, the specific risk level may be determined according to the range to which the current speed of the vehicle belongs and the straight-line distance of the obstacle from the left front wheel or the right front wheel of the vehicle.
The value of the second preset speed may be, but is not limited to, 30 km/h.
In an exemplary embodiment of the present invention, the signal processing device may determine the risk level of the obstacle in the pillar a blind area of the vehicle according to the position of the obstacle and the current operating condition of the vehicle, and may further include:
judging the current speed of the vehicle;
when the current speed of the vehicle is greater than or equal to a third preset speed and less than a first preset speed, detecting whether a moving obstacle exists in the road information; the moving barrier means that the speed of an object relative to the vehicle is more than 20km/h, and the object enters the range of a blind area of a column A of the vehicle during moving;
and if so, determining the risk level as high risk.
In the present embodiment, the risk level of the obstacle is determined based on the position of the obstacle and the current speed of the vehicle. When the current speed of the vehicle exceeds a set speed (such as a third preset speed) of the moving obstacle, the moving obstacle is considered to be a high risk as long as the moving obstacle appears in the range of the A-pillar blind area. When the current speed of the vehicle does not exceed the set speed of the moving obstacle, the distance between the obstacle and the vehicle in the range of the blind area of the column a is used for judging the risk level, the implementation principle of the method is similar to that of the embodiment, only the value of the set value of the spacing distance is different, and the embodiment is not limited and repeated herein.
The value of the third preset speed may be, but is not limited to, 40 km/h.
Fig. 2 is a schematic diagram of obstacle warning in a vehicle pillar a blind area according to an embodiment of the present invention, as shown in fig. 2, road information acquired by a laser radar may generate point cloud data, the point cloud data is transmitted to a signal processing device, such as an ECU, the signal processing device may perform obstacle identification by using a machine learning algorithm such as deep learning, and acquire the type and position of an obstacle to determine a risk level of the obstacle, match a corresponding icon from pre-constructed icons according to the risk level and the obstacle type, transmit the icon to a display device, and display the matched constructed icon as warning information (or warning information) by the display device to prompt a driver of possible risk.
Fig. 3 is a flowchart of an obstacle warning method for a vehicle a-pillar blind area according to an embodiment of the present invention, and as shown in fig. 3, the obstacle warning method for a vehicle a-pillar blind area may include:
s301: the signal processing device acquires road information of a vehicle A column blind area monitored by the signal acquisition device.
S302: the signal processing device identifies the type and position of the obstacle according to the road information.
S303: the signal processing device judges the risk level of the obstacle in the blind area of the column A of the vehicle according to the position of the obstacle and the current working condition of the vehicle, and sends the identifier matched with the risk level and the type of the obstacle to the display device, so that the display device displays the identifier on a windshield right in front of a driver.
The execution main body of the obstacle early warning method for the vehicle pillar a blind area provided by the embodiment of the invention is the signal processing device in the embodiment, the implementation principle and the implementation effect of the method are similar, and the embodiment is not limited and described herein.
In one example, the types of different obstacles are represented by different icons, the risk levels are represented by different levels, and the risk levels of the different levels are represented by at least one of the following ways:
the risk levels of different levels are represented by different icon colors;
the risk levels of different levels are represented by different icon sizes;
different levels of risk level are indicated by different numbers of exclamation marks.
In one example, the risk levels include: high risk, medium risk, and low risk;
the risk level of the barrier of the vehicle A column blind area is judged according to the position of the barrier and the current working condition of the vehicle, and the risk level comprises the following steps:
judging the current speed of the vehicle;
when the current speed of the vehicle is greater than or equal to a first preset speed and an obstacle exists in the road information, determining that the risk level is high risk;
and when the current speed of the vehicle is less than the first preset speed and the road information contains an obstacle, judging the spacing distance between the obstacle and the vehicle, and determining the risk level according to the current speed and the spacing distance of the vehicle.
In one example, the signal processing device determines a risk level according to a current speed and a separation distance of the vehicle, and includes:
when the current speed of the vehicle is greater than or equal to a second preset speed and less than a first preset speed, if the spacing distance is 2-3 meters, determining that the risk level is a medium risk; if the spacing distance is 1-2 meters, determining the risk level as high risk;
when the current speed of the vehicle is lower than a second preset speed, if the spacing distance is 2-3 m, determining that the risk level is low risk; if the spacing distance is 1-2 m, determining the risk grade as medium risk; if the separation distance is 0 to 1 meter, the risk level is determined to be high risk.
In one example, the signal processing device judges the risk level of the obstacle in the vehicle A column blind area according to the position of the obstacle and the current working condition of the vehicle, and further comprises:
judging the current speed of the vehicle;
when the current speed of the vehicle is greater than or equal to a third preset speed and less than a first preset speed, detecting whether a moving obstacle exists in the road information; the moving barrier means that the speed of an object relative to the vehicle is more than 20km/h, and the object enters the range of a blind area of a column A of the vehicle during moving;
and if so, determining the risk level as high risk.
In one example, the signal processing device identifies the type and position of an obstacle from road information, including:
and identifying whether the road information contains the obstacle or not by adopting a preset machine learning algorithm, and identifying the type and the position of the obstacle.
Fig. 4 is a block diagram of a signal processing apparatus according to an embodiment of the present invention, and as shown in fig. 4, the signal processing apparatus according to the embodiment of the present invention may include a memory 41 and a processor 42.
The processor may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits that implement embodiments of the present invention. The memory is for storing a computer program, which when executed by the processor, is for performing the following operations:
and acquiring road information of the vehicle A column blind area monitored by the signal acquisition device.
And identifying the type and the position of the obstacle according to the road information.
And judging the risk level of the obstacle in the blind area of the column A of the vehicle according to the position of the obstacle and the current working condition of the vehicle, and sending an identifier matched with the risk level and the type of the obstacle to a display device so that the display device displays the identifier at the position of a windshield in front of a driver.
In one example, the types of different obstacles are represented by different icons, the risk levels are represented by different levels, and the risk levels of different levels are represented by at least one of the following ways:
the risk levels of different levels are represented by different icon colors;
the risk levels of different levels are represented by different icon sizes;
different levels of risk level are indicated by different numbers of exclamation marks.
In an example, the risk level may include: high risk, medium risk, and low risk;
the processor judges the risk level of the obstacle in the pillar A blind area of the vehicle according to the position of the obstacle and the current working condition of the vehicle, and the judgment method can comprise the following steps:
judging the current speed of the vehicle;
when the current speed of the vehicle is greater than or equal to a first preset speed and an obstacle exists in the road information, determining that the risk level is a high risk;
and when the current speed of the vehicle is less than a first preset speed and the road information contains an obstacle, judging the distance between the obstacle and the vehicle, and determining the risk level according to the current speed of the vehicle and the distance.
In one example, the processor determining the risk level based on a current speed of the vehicle and the separation distance may include:
when the current speed of the vehicle is greater than or equal to a second preset speed and less than the first preset speed, if the spacing distance is 2-3 meters, determining that the risk grade is a medium risk; if the spacing distance is 1-2 meters, determining that the risk grade is high risk;
when the current speed of the vehicle is lower than the second preset speed, if the spacing distance is 2-3 meters, determining that the risk level is low risk; if the spacing distance is 1-2 m, determining that the risk grade is a medium risk; and if the spacing distance is 0-1 m, determining that the risk grade is high risk.
In one example, the processor determines the risk level of the obstacle in the vehicle a-pillar blind area according to the position of the obstacle and the current working condition of the vehicle, and may further include:
judging the current speed of the vehicle;
when the current speed of the vehicle is greater than or equal to a third preset speed and less than the first preset speed, detecting whether a moving obstacle exists in the road information; the moving barrier means that the speed of an object relative to the vehicle is more than 20km/h, and the object enters the range of a blind area of a column A of the vehicle during moving;
and if so, determining the risk level as high risk.
In one example, the processor identifies the type and location of the obstacle from the road information, which may include:
and identifying whether the road information contains the obstacle or not by adopting a preset machine learning algorithm, and identifying the type and the position of the obstacle.
Embodiments of the present invention may also provide a computer-readable storage medium having stored thereon computer instructions, which when executed by a processor, implement the steps of the method shown in any of the above embodiments.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
Claims (10)
1. An obstacle early warning system for a vehicle a-pillar blind zone, comprising: the device comprises a signal acquisition device, a signal processing device and a display device;
the signal acquisition device is used for monitoring road information at a vehicle A column blind area;
the signal processing device is respectively connected with the signal acquisition device and the display device; the signal processing device is used for identifying the type and the position of an obstacle according to the road information, judging the risk level of the obstacle in the A column blind area of the vehicle according to the position of the obstacle and the current working condition of the vehicle, and sending an identifier matched with the risk level and the type of the obstacle to the display device;
the display device is used for displaying the mark at the position of a windshield right in front of the driver.
2. The system of claim 1, wherein different obstacle types are represented by different icons, wherein the risk levels are represented by different levels, and wherein the risk levels of the different levels are represented by at least one of:
the risk levels of different levels are represented by different icon colors;
the risk levels of different levels are represented by different icon sizes;
different levels of risk level are indicated by different numbers of exclamation marks.
3. The system of claim 1, wherein the risk level comprises: high risk, medium risk, and low risk;
the signal processing device judges the risk level of the obstacle in the blind area of the column A of the vehicle according to the position of the obstacle and the current working condition of the vehicle, and comprises the following steps:
acquiring the current speed of the vehicle;
when the current speed of the vehicle is greater than or equal to a first preset speed and an obstacle exists in the road information, determining that the risk level is a high risk;
and when the current speed of the vehicle is less than a first preset speed and the road information contains an obstacle, judging the distance between the obstacle and the vehicle, and determining the risk level according to the current speed of the vehicle and the distance.
4. The system of claim 3, wherein the signal processing device determines the risk level based on a current speed of a vehicle and the separation distance, comprising:
when the current speed of the vehicle is greater than or equal to a second preset speed and less than the first preset speed, if the spacing distance is 2-3 meters, determining that the risk grade is a medium risk; if the spacing distance is 1-2 meters, determining that the risk grade is high risk;
when the current speed of the vehicle is lower than the second preset speed, if the spacing distance is 2-3 meters, determining that the risk level is low risk; if the spacing distance is 1-2 m, determining that the risk grade is a medium risk; and if the spacing distance is 0-1 m, determining that the risk grade is high risk.
5. The system of claim 3, wherein the signal processing device determines a risk level of an obstacle in the vehicle A-pillar blind zone based on the position of the obstacle and the current operating condition of the vehicle, further comprising:
judging the current speed of the vehicle;
when the current speed of the vehicle is greater than or equal to a third preset speed and less than the first preset speed, detecting whether a moving obstacle exists in the road information; the moving barrier means that the speed of an object relative to the vehicle is more than 20km/h, and the object enters the range of a blind area of a column A of the vehicle during moving;
and if so, determining the risk level as high risk.
6. The system of claim 1, wherein the signal processing device identifies the type and location of the obstacle from the road information, comprising:
and identifying whether the road information contains the obstacle or not by adopting a preset machine learning algorithm, and identifying the type and the position of the obstacle.
7. A method for early warning obstacles in a vehicle A-pillar blind area is characterized by comprising the following steps:
the signal processing device acquires road information at a vehicle A column blind area monitored by the signal acquisition device;
the signal processing device identifies the type and the position of the obstacle according to the road information;
the signal processing device judges the risk level of the obstacle in the blind area of the column A of the vehicle according to the position of the obstacle and the current working condition of the vehicle, and sends the identification matched with the risk level and the type of the obstacle to the display device, so that the display device displays the identification on a windshield right in front of a driver.
8. The method of claim 7, wherein the risk level comprises: high risk, medium risk, and low risk;
the risk level of the barrier of the blind area of the column A of the vehicle is judged according to the position of the barrier and the current working condition of the vehicle, and the risk level comprises the following steps:
judging the current speed of the vehicle;
when the current speed of the vehicle is greater than or equal to a first preset speed and an obstacle exists in the road information, determining that the risk level is a high risk;
and when the current speed of the vehicle is less than a first preset speed and the road information contains an obstacle, judging the distance between the obstacle and the vehicle, and determining the risk level according to the current speed of the vehicle and the distance.
9. A signal processing apparatus comprising a memory for storing a computer program and a processor; the computer program, when executed by the processor, implements the obstacle warning method for a vehicle a-pillar blind area according to claim 7 or 8.
10. A computer-readable storage medium having stored thereon computer instructions, which when executed by a processor, implement the steps of the method of claim 7 or 8.
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